Self-Organizing Maps (Paperback, 3rd ed. 2001)

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. Many fields of science have adopted the SOM as a standard analytical tool: in statistics,signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the case examples were provided with detailed formulae, illustrations and tables; a new chapter on software tools for SOM was written, other chapters were extended or reorganized.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Springer Series in Information Sciences, 30
Release date:	November 2000
First published:	2001
Authors:	Teuvo Kohonen
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Paperback
Pages:	502
Edition:	3rd ed. 2001
ISBN-13:	978-3-540-67921-9
Categories:	Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-540-67921-9
Barcode:	9783540679219

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